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莱特海姆 2 号:在双重背侧-腹侧语言通路的神经计算模型中综合失语症和语言的神经基础。

Lichtheim 2: synthesizing aphasia and the neural basis of language in a neurocomputational model of the dual dorsal-ventral language pathways.

机构信息

Neuroscience and Aphasia Research Unit, School of Psychological Sciences, University of Manchester, Manchester M139PL, UK.

出版信息

Neuron. 2011 Oct 20;72(2):385-96. doi: 10.1016/j.neuron.2011.09.013.

Abstract

Traditional neurological models of language were based on a single neural pathway (the dorsal pathway underpinned by the arcuate fasciculus). Contemporary neuroscience indicates that anterior temporal regions and the "ventral" language pathway also make a significant contribution, yet there is no computationally-implemented model of the dual pathway, nor any synthesis of normal and aphasic behavior. The "Lichtheim 2" model was implemented by developing a new variety of computational model which reproduces and explains normal and patient data but also incorporates neuroanatomical information into its architecture. By bridging the "mind-brain" gap in this way, the resultant "neurocomputational" model provides a unique opportunity to explore the relationship between lesion location and behavioral deficits, and to provide a platform for simulating functional neuroimaging data.

摘要

传统的语言神经学模型基于单一的神经通路(由弓状束支撑的背侧通路)。当代神经科学表明,前颞叶区域和“腹侧”语言通路也有重要贡献,但目前还没有实现双通道的计算模型,也没有对正常和失语症行为进行综合。“Lichtheim 2”模型是通过开发一种新的计算模型来实现的,该模型再现和解释了正常和患者的数据,同时将神经解剖学信息纳入其架构。通过这种方式弥合“心-脑”差距,由此产生的“神经计算”模型为探索损伤部位与行为缺陷之间的关系提供了独特的机会,并为模拟功能神经影像学数据提供了一个平台。

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